Rheumatology

Lupus

Latest AI and machine learning research in lupus for healthcare professionals.

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A Simple and Rapid LC-MS/MS Method for the Determination of BMCL26 a Novel Anti-Parasitic Agent in Rat Plasma.

BMCL26 is a potential drug derived from nimesulide, which has exhibited the substantial anti-parasit...

Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset.

OBJECTIVE: This paper presents benchmarking results of human epithelial type 2 (HEp-2) interphase ce...

Anti-inflammatory and antifatigue effect of Korean Red Ginseng in patients with nonalcoholic fatty liver disease.

BACKGROUND: Korean Red Ginseng (KRG) is a well-known natural product with anticarcinogenic and antio...

Anti-inflammatory and antimicrobial activities of novel pyrazole analogues.

A new sequence of pyrazole derivatives (1-6) was synthesized from condensation technique under utili...

Cheminformatics Based Machine Learning Models for AMA1-RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte Invasion.

Malaria remains a dreadful disease by putting every year about 3.4 billion people at risk and result...

Apolipoprotein A-I: A Molecule of Diverse Function.

Apolipoprotein A-I (apo A-I) an indispensable component and a major structural protein of high-densi...

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.

Neural network models of early sensory processing typically reduce the dimensionality of streaming i...

In silico prediction of anti-malarial hit molecules based on machine learning methods.

Machine learning techniques have been widely used in drug discovery and development in the areas of ...

Concise Synthesis of Spergualin-Inspired Molecules With Broad-Spectrum Antibiotic Activity.

There is a growing need to identify new, broad-spectrum antibiotics. The natural product spergualin ...

Facilitatory effects of anti-spastic medication on robotic locomotor training in people with chronic incomplete spinal cord injury.

BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can...

The use of herbs against neglected diseases: Evaluation of leishmanicidal and trypanocidal activity of Mart.

The evaluation of the leishmanicidal and trypanocidal activity of the hydroalcoholic extract of the ...

IgA nephropathy in systemic lupus erythematosus patients: case report and literature review.

Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...

A potential anti-inflammation activity and depigmentation effect of Lespedeza bicolor extract and its fractions.

Postinflammatory hyperpigmentation (PIH) is an acquire hypermelanosis after cutaneous inflammation a...

Prediction of Anti-inflammatory Plants and Discovery of Their Biomarkers by Machine Learning Algorithms and Metabolomic Studies.

Nonsteroidal anti-inflammatory drugs are the most used anti-inflammatory medicines in the world. Sid...

Exploration of the anticandidal mechanism of Cassia spectabilis in debilitating candidiasis.

Candida albicans has become resistant to the commercially available, toxic, and expensive anti-Candi...

Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses.

Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune dis...

Supervised machine learning and molecular docking modeling to identify potential Anti-Parkinson's agents.

Parkinson's disease is a neurodegenerative condition that affects the brain's neurons, and causes ma...

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